Method to detect and optimize for scan approach path

    公开(公告)号:US12167117B1

    公开(公告)日:2024-12-10

    申请号:US18516606

    申请日:2023-11-21

    Abstract: Methods and systems for detecting an object scan approach path and optimizing an imaging assembly in response to the scan path are provided. Image data captured from one or more fields of views is used to identify an object and determine, over a series of images, a scan path of that object relative to the imaging assembly. From the scan path, a lead-in side and a lead-out side of the imaging assembly are determined and used to adjust operating parameters of the imaging assembly to bias toward a right side scanning configuration, a left side scanning configuration, or a central scanning configuration. These operating parameters may include adjusting the wakeup, exposure, illumination, indicia identification, and scan avoidance configurations, for example, for optimum scan path operation.

    SYSTEMS AND METHODS TO OPTIMIZE PERFORMANCE OF A MACHINE VISION SYSTEM

    公开(公告)号:US20220038623A1

    公开(公告)日:2022-02-03

    申请号:US16945560

    申请日:2020-07-31

    Abstract: Methods and systems for optimizing a performance of a machine vision system are disclosed herein. An example method includes capturing, by an imaging device, an image of a target object in accordance with a set of imaging device settings. The example method further includes analyzing, by one or more processors, the image in accordance with a machine vision job. The example method further includes comparing, by the one or more processors, each of (i) the image to a baseline image, (ii) the machine vision job to a baseline machine vision job, and (iii) the set of imaging device settings to a baseline set of imaging device settings. The example method further includes, based on the comparing, generating, by the one or more processors, one or more suggestions to optimize the performance of the machine vision system.

    Systems and methods to optimize imaging settings and image capture for a machine vision job

    公开(公告)号:US12217126B2

    公开(公告)日:2025-02-04

    申请号:US18387448

    申请日:2023-11-06

    Abstract: Techniques for optimizing one or more imaging settings for a machine vision job are provided. An example method includes configuring a machine vision job by setting a plurality of banks of imaging parameters, with each of the plurality of banks of imaging parameters being different from each other; transmitting the machine vision job to an imaging device; and executing the machine vision job on the imaging device to: (a) capture an image with the imaging device operating pursuant to one of the plurality of banks of imaging parameters; (b) attempt to decode a barcode within the image; (c) responsive to successfully decoding the barcode within the image, successfully ending the barcode reader tool; and (d) responsive to unsuccessfully decoding the barcode within the image, repeating (a)-(d) with another one of the one of the plurality of banks of imaging parameters.

    Systems and Methods for Operating Illumination Assemblies in a Multi-Imager Environment

    公开(公告)号:US20240114238A1

    公开(公告)日:2024-04-04

    申请号:US17957533

    申请日:2022-09-30

    CPC classification number: H04N5/23206 G03B15/02 H04N5/2256

    Abstract: At least some embodiment of the present invention are directed to mean for operating an illumination assembly associated with a group of imaging devices. An example method includes causing each of a plurality of imaging devices to capture image data during a group acquisition operation, each of the plurality of imaging devices has (i) a respective delay until a start of an exposure duration, (ii) the respective exposure duration, and (iii) a total operation duration. The method also includes causing an illumination assembly to transition from a first state to a second state based on a shortest delay of the imaging devices and further causing the illumination assembly to transition from the second state to a third state based on a longest total operation duration of the imaging devices.

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